TU Berlin

Service-centric NetworkingSandro Rodriguez Garzon

Page Content

to Navigation

Dr.-Ing. Sandro Rodriguez Garzon

Lupe

Sandro Rodriguez Garzon received his diploma in Computer Engineering at the Technische Universität Berlin in 2005. From 2006 to 2007, he worked as a software engineer for the sd&m AG (Capgemini S.A.) and participated in several software projects for vehicle manufactures like Volkswagen and Audi. In 2007, he started his doctoral research on the context-aware personalization of automotive user interfaces at the Daimler Center for Automotive IT Innovations within the group of Compiler Construction and Programming Languages of Prof. Peter Pepper. Thereby, he worked on the formal specification of automotive user interfaces and their adaptation capabilities as well as on multiple prototypes for mobile platforms e.g. Android and iOS.

In October 2013, he joined the Telekom Innovation Laboratories as a research associate within the group of Service-centric Networking led by Prof. Axel Küpper.

Sandro's research is focused in the fields of Ubiquitous Computing, Distributed Computing and Data Science.

Research Interests

  • Mobile and Context-Aware Computing
  • Adaptation and Personalization of User Interfaces
  • User, Context and Situation Modeling
  • Data Mining, Spatio-Temporal Reasoning, Pattern Matching
  • Internet of Things, Smart Cities, Smart Factories
  • Distributed Ledger Technologies, Blockchain

Publications

Rodriguez Garzon, S. and Deva, B. (2019). Sensafety: Crowdsourcing the Urban Sense of Safety. Advances in Cartography and GIScience of the ICA. Copernicus Publications, 12.

Link to publication

Rodriguez Garzon, S. and Louis, B. (2020). Context Flow Graphs: Situation Modeling for Rule-based Proactive Context-aware Systems. IEEE Access, 1-22.


Müller, M. and S. Rodriguez Garzon. S. and M. Rosemann, M. and Küpper, A. (2020). Towards Trust-aware Collaborative Business Processes: An Approach to Identify Uncertainty. IEEE Internet Computing, 1-1.

Link to publication

Thesis

Supervised Theses

Navigation

Quick Access

Schnellnavigation zur Seite über Nummerneingabe